Subject Matter Expert

7 days ago

Bengaluru Mumbai Pune, India Citiustech Healthcare Technology Private Limited Full time

Job Description As a Subject Matter Expert - ML or LLM Ops, you will be a thought leader, guiding Organization MLOps and LLMOps strategy and overseeing the development of scalable infrastructure and processes. Be an Architect of Innovation: This is your opportunity to join a dynamic team and leverage your expertise as an MLOps & LLM Ops SME. You'll play a pivotal role in designing and implementing robust pipelines for our ML and LLM models, ensuring efficient deployment and continuous optimization. Responsibilities: - - Provide strategic direction and technical leadership for MLOps and LLM Ops initiatives, and ensure alignment with business objectives. - Demonstrate an in-depth understanding of MLOps and LLM Ops principles, including data pipelines, model training, deployment frameworks, and monitoring techniques. - Stay at the forefront of MLOps and LLM Ops advancements, and identify and champion new tools and best practices. - Design, develop, and implement robust MLOps and LLM Ops pipelines for efficient model training, deployment, and monitoring. - Collaborate with cross-functional teams (engineering, data science, product) to ensure seamless integration of ML and LLM models into production workflows. - Communicate complex technical concepts clearly to both technical and non-technical audiences. Mandatory Technical skills - Must be abreast with CSP's (AWS, Azure and GCP) MLOPS and LLOPS stack. - Should have expert level knowledge around deploying AI stack on Kubernetes cluster and scaling the same both horizontal and vertical. - Must have experience on deploying AI applications using native services. - Must have experience on VM provisioning and network set up - Minimum over 10 years of experience in MLOps or LLM Ops along with a proven track record of successful deployments. - In-depth knowledge of MLOps tools and platforms such as Kubernetes, Docker, Jenkins, Git, MLflow, LLM-specific tooling. - Familiarity with Cloud platforms (AWS, Azure, Google Cloud) and infrastructure as code (IaC) principles. - Experience in DevOps methodologies and CI/CD pipelines. - Strong understanding of machine learning pipelines, model training frameworks, and monitoring techniques. - Experience in large language models (LLMs) and their unique operational considerations is a plus. Good to have skills: - - Excellent communication, collaboration, and problem-solving skills. - Ability to translate technical concepts into clear and concise language. - A passion for innovation and a drive to optimize ML and LLM workflows. - Written and verbal skills especially to confidently express technical ideas and solutions.

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